The two largest U.S. national forests, both in Alaska, have low wildfire risk and provide crucial forest carbon stocks and biodiversity benefits.
Research Spotlights
Research spotlights are plain-language summaries of recent articles published in AGU’s suite of 24 journals.
Posted inResearch Spotlights
Measuring Carbon’s Flow from Land to Sea
A new study catalogs how dissolved inorganic carbon moves through southeast Alaska’s waterways.
Posted inResearch Spotlights
Los primeros eventos de deslizamiento lento observados en el sur de Costa Rica
Cinco eventos observados en la Península de Osa revelan nueva información sobre el papel que estos pequeños y lentos terremotos pueden desempeñar en la acumulación de tensión y riesgos de tsunami a lo largo de las zonas de subducción.
Posted inResearch Spotlights
Climate Tipping Points Could Be Triggered by “Committed Warming”
Unless we rapidly reach net zero emissions, the climate will inch closer to a point of no return—even after greenhouse gas emissions are reduced.
Posted inResearch Spotlights
Adding Oxygen to a Lake to Explore Methane Emissions
A rare whole-lake experiment suggests that in some cases, low-oxygen conditions may have a smaller impact on methane release to the atmosphere than previously thought.
Posted inResearch Spotlights
Carbon Dioxide’s Effect on Mountain Climate Systems
Greenhouse gases are rising in the atmosphere. But how will precipitation patterns change as climate systems rise over mountain chains?
Posted inResearch Spotlights
Gently Down the Stream: Carbon’s Journey from Land to Sea and Beyond
Movement of carbon from land to ocean and atmosphere plays an important, but understudied, role in the global carbon cycle.
Posted inResearch Spotlights
Humans Have Boosted Atmospheric Mercury Concentrations Sevenfold
A new baseline of volcanic contributions to the global mercury cycle reveals how drastically human activities have increased the element’s concentration in the atmosphere.
Posted inResearch Spotlights
AI Meets Its Match: The Butterfly Effect
Artificial intelligence algorithms fail to account for a key limitation in weather prediction.